{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,18]],"date-time":"2025-09-18T10:06:46Z","timestamp":1758190006527,"version":"3.44.0"},"reference-count":18,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,5,29]],"date-time":"2025-05-29T00:00:00Z","timestamp":1748476800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,5,29]],"date-time":"2025-05-29T00:00:00Z","timestamp":1748476800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,5,29]]},"DOI":"10.1109\/sera65747.2025.11154611","type":"proceedings-article","created":{"date-parts":[[2025,9,16]],"date-time":"2025-09-16T17:31:58Z","timestamp":1758043918000},"page":"9-14","source":"Crossref","is-referenced-by-count":0,"title":["From Menus to Management: An Integrated Platform Leveraging Large Language Models in Automatic Restaurant Ordering Systems"],"prefix":"10.1109","author":[{"given":"Pouria","family":"Tayebi","sequence":"first","affiliation":[{"name":"Towson University,Department of Computer and Information Science,Towson,MD,USA,21204"}]},{"given":"Yingcheng","family":"Sun","sequence":"additional","affiliation":[{"name":"University of North Carolina Greensboro,Department of Computer Science,Greensboro,NC,USA,27412"}]},{"given":"Yifan","family":"Guo","sequence":"additional","affiliation":[{"name":"Towson University,Department of Computer and Information Science,Towson,MD,USA,21204"}]}],"member":"263","reference":[{"volume-title":"Houndify: The voice ai platform","year":"2024","key":"ref1"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref3","article-title":"Improving language understanding by generative pre-training","volume-title":"tech. rep., OpenAI","author":"Radford","year":"2018"},{"key":"ref4","article-title":"Language models are unsupervised multitask learners","volume-title":"tech. rep., OpenAI","author":"Radford","year":"2019"},{"key":"ref5","first-page":"1877","article-title":"Language models are few-shot learners","volume":"33","author":"Brown","year":"2020","journal-title":"Advances in Neural Information Processing Systems (NeurIPS)"},{"key":"ref6","first-page":"4171","article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","volume-title":"Proceedings of the NAACL-HLT 2019","author":"Devlin"},{"key":"ref7","article-title":"Lamda: Language models for dialog applications","author":"Thoppilan","year":"2022","journal-title":"Google AI Blog"},{"key":"ref8","article-title":"Llama 2: Open foundation and fine-tuned chat models","author":"Touvron","year":"2023","journal-title":"arXiv preprint arXiv:2307.09288"},{"key":"ref9","article-title":"Investigating public fine-tuning datasets: A complex review of current practices from a construction perspective","author":"Ma","year":"2024","journal-title":"arXiv preprint arXiv:2407.08475"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-acl.388"},{"key":"ref11","article-title":"Automated data curation for robust language model fine-tuning","author":"Chen","year":"2024","journal-title":"arXiv preprint arXiv:2403.12776"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.emnlp-main.787"},{"article-title":"Optimizing large language models assisted smart home assistant systems at the edge: An empirical study","volume-title":"AAAI 2025 Workshop on Artificial Intelligence for Wireless Communications and Networking (AI4WCN)","author":"Velaga","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3661345"},{"key":"ref15","article-title":"Utilizing large language models for automating technical customer support","author":"Wulf","year":"2024","journal-title":"arXiv preprint arXiv:2406.01407"},{"key":"ref16","article-title":"Gpt-calls: Enhancing call segmentation and tagging by generating synthetic conversations via large language models","author":"Malkiel","year":"2023","journal-title":"arXiv preprint arXiv:2306.07941"},{"key":"ref17","article-title":"Chops: Chat with customer profile systems for customer service with llms","author":"Shi","year":"2024","journal-title":"arXiv preprint arXiv:2404.01343"},{"volume-title":"Chat completions","year":"2024","key":"ref18"}],"event":{"name":"2025 IEEE\/ACIS 23rd International Conference on Software Engineering Research, Management and Applications (SERA)","start":{"date-parts":[[2025,5,29]]},"location":"Las Vegas, NV, USA","end":{"date-parts":[[2025,5,31]]}},"container-title":["2025 IEEE\/ACIS 23rd International Conference on Software Engineering Research, Management and Applications (SERA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11154458\/11154479\/11154611.pdf?arnumber=11154611","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,17]],"date-time":"2025-09-17T05:29:03Z","timestamp":1758086943000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11154611\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,29]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/sera65747.2025.11154611","relation":{},"subject":[],"published":{"date-parts":[[2025,5,29]]}}}